• 국제학술발표논문집
• /
• The 3th International Conference on Construction Engineering and Project Management
• /
• pp.642-648
• /
• 2009

Determining the total duration for a construction project is an integral part of project management in the construction industry. This is to ensure the project and all its associated activities can be carried out and completed within the time frame stipulated. There are several commonly used scheduling methods and techniques in project management, some of which involves manual calculation while others involve computer software. This paper looks into the various time determination methods, extracting out their differences and similarities. It also seeks to draw out the problems when determining time for projects, especially those encountered of case studies. Based on the results from the case studies, there were delays on certain projects even though time determination had been carried out rigorously prior to the commencement of the projects. This paper seeks to develop a time determination model, which incorporates risk management techniques into the calculations in order to improve the method for time estimation to minimize the chances of project delay.

• 국제학술발표논문집
• /
• The 1th International Conference on Construction Engineering and Project Management
• /
• pp.754-757
• /
• 2005

Construction firms attempt to improve project performance by adopting technology. However, the advantages gained from technology utilization are still not clear. Lack of information regarding technology benefits has resulted in industry reluctance to implement new technology. Therefore, there are needs for studies that quantify the impacts of technology utilization on project performance. An industry-wide survey was used to collect project data from 70 capital facility projects on the issue of technology usage and project owner satisfaction parameter. This paper reports on integration/automation technology usage in the Taiwanese construction industry and associated impacts on project owner satisfaction. In addition, integration and automation technology findings are presented by project phase. The analyses indicate that projects with owner satisfaction have, on average, higher levels of technology utilization than projects with owner dissatisfaction for all technology usage metrics analyzed.

• 국제학술발표논문집
• /
• The 6th International Conference on Construction Engineering and Project Management
• /
• pp.6-9
• /
• 2015

Traditional project management theory is based on a three-dimensional life cycle approach where the project managerseeks to optimize the dimensions of cost-schedule-technical (quality or design). This paper reports the findings of a case study analysis of two complex mega-projects in Michigan which confirm the findings of previous research and illustrates the use of a framework for five-dimensional project management (5DPM) that is for conceptualizing a complex project's scope of work. The framework elevates the recognition that the project's social/political context and the financial arrangements create complexity adding two new dimensions. This paper also demonstrates a methodology to graphically display a project's complexity to better understand and prioritize the available resources. The result is a "complexity footprint" that may help a complex project manager identify the boundary between controllable and uncontrollable projects impacts. The paper finds that applying 5DPM to the two case study projects has given the project delivery team a tool which is actually adding value to the complex project management process.

• 국제학술발표논문집
• /
• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
• /
• pp.201-208
• /
• 2011

Today's highly competitive construction scenario forces all the major players in the field to take up multiple projects which have put an undue pressure on the resources available within the organization. Under such a situation, there are many instances where in the resource requirement exceeds its availability due to multiple activities (with same resource requirement) which are scheduled to start simultaneously and thus results in the constrained resource becoming a bottleneck of the project. As a consequence of sharing resources, this paper studies the impact on the completion date of two similar projects under two different conditions, the first one resulting in a postponed end date and the second without any postponement. The resource utilization, the possibility of substitution of a resource and its subsequent impact on the deadline of the project is analyzed under these two circumstances. The study is done on a Critical Chain Project Management (CCPM) platform instead of leaving the schedule with a traditional Critical Path Method (CPM) finish, which gives an added advantage of validating the robustness of the emerging CCPM trend in the field of resource management.

• 대한토목학회논문집
• /
• 제31권2D호
• /
• pp.247-253
• /
• 2011

우리 해외건설은 2009년 491억불의 수주 실적을 기록하며 500억불 시대를 눈앞에 둔 국가수출 주력산업으로서의 위상을 정립하였다. 하지만 해외건설시장에서 안정적인 수주 실적을 확보하기 위한 타국 업체와의 경쟁은 어느 때보다 치열해 지고 있으며 이와 더불어 우리 업체 간의 경쟁도 기술력과 가격 경쟁력의 향상으로 인해 매우 치열한 실정이다. 이러한 업체 간 경쟁은 무리한 저가입찰로도 이어져 수익성이 확보되지 않은 프로젝트를 수주하는 등의 결과를 낳기도 한다. 때문에 각 업체에게는 해외건설시장에서 우위를 점하고 기대수익률을 확보할 수 있는 프로젝트를 수주하기 위한 다양한 전략의 개발은 매우 중요한 과제이다. 이러한 중요성을 바탕으로 본 연구에서는 시장, 공종, 발주형태 및 발주기관 구분에 따라 상관관계분석을 이용한 통계적 분석을 통해 해외건설공사에서 국내 입찰업체 수에 따른 수주성공률과 수익률의 성관관계를 정립하고자 하였다. 이를 위해 입찰허가제가 폐지된 이후 우리 해외건설 수주실적을 조사하여 공공자금을 통한 해외건설공사와 국내하청공사를 제외하고 데이터를 구성하였다. 상관관계를 분석한 결과, 일반적으로 공종 지역 발주형태 발주기관에 따른 입찰업체 수가 증가할수록 수주성공률은 높아지는 반면에 수익률은 낮아지는 것으로 나타났다. 하지만 사업특성에 따른 입찰 업체 수와 수익률 그리고 수주성공률을 고려한 결과 일부 지역과 공종에서는 입찰 업체 수의 감소가 상대적으로 높은 수익률로 이어지지 않는 경향을 보였다. 이러한 사업특성별 구분에 따른 입찰업체 수와 수주 성공률과 수익률의 상관관계에 대한 이해는 해외건설시장에서 국내건설기업의 경쟁력 제고를 위한 특성별 전략 수립 시에 유용한 자료로 활용 될 수 있을 것이다.

• 국제학술발표논문집
• /
• The 3th International Conference on Construction Engineering and Project Management
• /
• pp.800-807
• /
• 2009

The limited public funds available for infrastructure projects have led governments to consider private entities' participation in long-term contracts for finance, construction, and operation of these projects to share risks and rewards between the public and the private. Because these projects have complicated risk evolutions, diverse contractual forms for each project member to hedge risks involved in a project are necessary. In light of this, Build-Operate-Transfer(BOT) model is considered as effective to accomplish Public Private Partnerships(PPPs) with a characteristic of an ownership-reversion. In BOT projects, the government has used such an incentive system as minimum revenue guarantee(MRG) agreement to attract the private's participation. Although this agreement turns out critical in success of BOT project, there still exist problematic issues in a financial feasibility analysis since the traditional capital budgeting theory, Net Present Value(NPV) analysis, has failed to evaluate the contingent characteristic of MRG agreement. The purpose of this research is to develop real option model based on option pricing theory so as to provide a theoretical framework in valuing MRG agreement in BOT projects. To understand the applicability of the model, the model is applied to the example of the BOT toll road project and the results are compared with that by NPV analysis. Finally, we found that the impact of the MRG agreement is significant on the project value. Hence, the real option model can help the government establish better BOT policies and the developer make appropriate bidding strategies.

• 국제학술발표논문집
• /
• The 3th International Conference on Construction Engineering and Project Management
• /
• pp.856-863
• /
• 2009

The problem of urban decay in Hong Kong has drawn much attention of both practitioners and academics. Poorly managed buildings not just give a negative image to the Pearl of the Orient in the region, but also pose potential risk hazards to the health and safety of the general public. While it is necessary to devise a comprehensive plan on redevelopment and urban planning, preserving the existing buildings to maintain their conditions for habitation can be a short-term option to safeguard quality standard. With the increasing number of ageing buildings in Hong Kong, a lot of research efforts have been devoted to managing repair and maintenance projects properly (for example those initiated and funded by the Construction Industry Institute, Hong Kong; and the current study financially supported by The Hong Kong Polytechnic University). Given the short duration and more diversified nature of work, building repair and maintenance works are found to be more difficult to monitor and regulate when compared with new works. This paper aims to provide a comprehensive analysis on the problems of running building maintenance projects. An extensive review of contemporary literature was firstly conducted, which forms a solid basis for developing an empirical study on the problems and difficulties of running building maintenance projects from the viewpoints of industrial practitioners with a view to formulating effective strategies for managing maintenance projects successfully.

• 한국건설관리학회논문집
• /
• 제9권1호
• /
• pp.134-142
• /
• 2008

해외 플랜트 건설시장은 지속적으로 증가하고 있으며, 국내 건설업체의 중동 플랜트 건설시장의 비중도 점점 증가하고 있다. 하지만 해외 플랜트 건설사업은 상대적으로 높은 리스크를 가지고 있으므로 해외 플랜트 건설과 관련된 리스크를 사전에 예측, 평가하여 관리하는 것이 중요하다. 따라서 본 연구에서는 기존의 해외 공사 리스크 평가 방법과 현재 해외 플랜트 공사에 참여하고 있는 전문가들의 면담조사를 토대로 해외 플랜트 건설공사의 사업 수행 과정에서 발생할 수 있는 리스크를 입찰 및 계약 단계에서 사전에 평가할 수 있는 리스크 평가 방안을 제시하였다. 또한 중동지역의 실제 프로젝트 리스크 평가 사례를 통해서 해외 플랜트 프로젝트 리스크 평가에 대한 활용성을 검토하였다.

• 국제학술발표논문집
• /
• The 1th International Conference on Construction Engineering and Project Management
• /
• pp.913-916
• /
• 2005

This paper presents the development of Artificial Neural Network models for forecasting the cost and contract duration of school reconstruction projects to assist the planners' decision-making in the early stage of the projects. 132 schools reconstruction projects in central Taiwan, which received the most serious damage from the Chi-Chi Earthquake, were collected. The developed Artificial Neural Network prediction models demonstrate good prediction abilities with average error rates under 10% for school reconstruction projects. The analytical results indicate that the Artificial Neural Network model with back-propagation learning is a feasible method to produce accurate prediction results to assist planners' decision-making process.

• 국제학술발표논문집
• /
• The 6th International Conference on Construction Engineering and Project Management
• /
• pp.122-126
• /
• 2015

Credit enhancement is absolutely essential for financing Independent Power Producer (IPP) projects in Asia particularly for countries whose sovereign credit rating is on non-investment grade and foreign investment is difficult to achieve. Due to nexus of agreements among varies parties in IPP project, it is hard to clearly visualize the roles of these agreements. Examples are: What credit enhancement factors are most influential to minimize the associated risks of IPP projects? Why are they powerful? What are their roles? Who are less powerful and what are the obstacles that causes them less powerful? A research is conducted to identify the credit enhancement factors for IPP projects in Asia. IPP professionals validated 27 out of 28 identified credit enhancement factors, and five factor groupings were made through factor analysis. Afterwards, network theory is applied to find the unanswered questions, which by graphical and mathematical representations show that the host government's credit enhancement, MDBs, ECAs and other parties' credit enhancement are prominent and of great importance to handle the associated risks of IPP projects in Asia